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Exploratory Data Analysis (EDA) is a data analysis technique used to gain insights into data sets. It is used to uncover patterns, trends, and relationships between variables. EDA is often used to identify outliers, missing values, and other anomalies in data sets. It is also used to identify relationships between variables and to develop hypotheses for further analysis. EDA is an important part of the data analytics process, as it helps to identify areas of interest and potential problems in data sets.
EDA is used in a variety of industries, including finance, healthcare, retail, and manufacturing. It is used to gain insights into customer behavior, market trends, and product performance. It is also used to identify potential risks and opportunities in data sets.
Companies in the EDA market include Tableau, Microsoft, IBM, Oracle, SAS, and Qlik. Show Less Read more